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This paper aims to popularize the Bayesian methods among novice management researchers. The paper interprets the results of Bayesian method of confirmatory factor analysis (CFA), structural equation modelling (SEM), mediation and moderation analysis, with the intention that the novice researchers will apply this method in their research. The paper made an attempt in discussing various complex mathematical concepts such as Markov Chain Monte Carlo, Bayes factor, Bayesian information criterion and deviance information criterion (DIC), etc. in a lucid manner.

Data collected from 172 pharmaceutical sales representatives were used. The study will help the management researchers to perform Bayesian CFA, Bayesian SEM, Bayesian moderation analysis and Bayesian mediation analysis using SPSS AMOS software.

The interpretation of the results of Bayesian CFA, Bayesian SEM and Bayesian mediation analysis were discussed.

The management scholars are non-statisticians and are not much aware of the benefits offered by Bayesian methods. Hitherto, the management scholars use predominantly traditional SEM in validating their models empirically, and this study will give an exposure to “Bayesian statistics” that has practical advantages.

This is one paper, which discusses the following four concepts: Bayesian method of CFA, SEM, mediation and moderation analysis.

Researchers in management regularly face modelling issues that involve double-moderated mediation models. Here, the author illustrates how to conceptualise, specify and empirically estimate mediation effects when having to simultaneously account for continuous (Likert type) and nominal (i.e. group) moderator variables. Researchers’ estimates of the mediation effects suffer serious bias because of the effects of unaccounted confounders. This is an issue that plagues management research, and this study aims to show how to address these valid reservations for its focus models. In aiming to inform a wider management audience, the study deliberately uses the rich context of a focus case as this allows the author to clarify the nuances that management researchers face applying double-moderated mediation models. Specifically, the study’s focus case is on professionals’ willingness to implement a new government policy. The study also combines traditional and Bayesian statistical approaches and explains the differences in estimation and interpretation that are associated with the Bayesian approach. Explaining, and exemplifying the use of, the models, the author focuses on how one can substantially increase the robustness of the methods used in management research and can considerably improve the quality of the generated theoretical insights. The study also clarifies important assumptions and solutions.

The study uses a doubled moderated mediation Bayesian approach, and draws the sample data from a population of 5,199 professionals, all members of either the Dutch Association of Psychologists or the Dutch Association for Psychiatry. The data collection process resulted in 1,307 questionnaires being returned, a response rate of 25 per cent. All the items were measured using a Likert scale, ranging from “strongly disagree” to “strongly agree”, unless stated otherwise.

Explaining, and exemplifying the use of, the models the study focuses on how one can substantially increase the robustness of the methods used in management research and can considerably improve the quality of the generated theoretical insights.

This is an original approach exemplified for wider use by management researchers.

The purpose of this study was to empirically examine the utility of self-determination theory (SDT) within the engagement–performance linkage.

Bayesian multi-measurement mediation modeling was used to estimate the relation between SDT, engagement and a proxy measure of performance (e.g. work intentions) (N = 1,586). To best capture the phenomenon of engagement, two measures of engagement (i.e. the Utrecht Work Engagement Scale-9 [UWES-9] and the Job Engagement Scale [JES]) and one measure of harmonious and obsessive passion (HOPS) were utilized. The HOPS was split into separate scales (harmonious and obsessive passion). SDT was operationalized through the Basic Psychological Needs at Work Scale (BPNS). Performance was operationalized through a latent proxy of work intentions.

Results demonstrated that the association between SDT and engagement were positive. Indirect effects between SDT and work intentions were significant for only two of the four measures of engagement (i.e. the UWES and Harmonious Passion). Hypotheses were partially supported.

SDT operated as an appropriate framework for capturing the underlying psychological structures of engagement for each of the four measures. In some cases, engagement did not mediate the relation between SDT and performance as expected, highlighting the contextual nature of engagement in both application and measurement.

This is one of the first studies to explicitly link a broad well-established psychological theory to engagement. This connection allows researchers to explain the latent processes of engagement that underpin the observed relationships of engagement in practice. Moreover, this is one of only a handful of studies that has used a multi-measurement approach in exploring the engagement–performance linkage and one of the only studies to use Bayesian methodology.

Focal service providers increasingly involve customers in the decision-making about outsourcing parts of the service delivery process to third parties. The present study investigates how customers' outsourcing decisions affect the formation of the waiting experience with the focal service provider, by which the objective waiting time, environmental quality and interactional quality act as focal drivers.

To test our hypotheses in the context of cancer care, we gathered process data and experience data by means of a patient observation template (n = 640) and a patient survey (n = 487). The combined data (n = 377) were analyzed using Bayesian models.

This study shows that opting for a service triad (i.e. outsourcing non-core services to a third party) deduces customers' attention away from the objective waiting time with the focal service provider but not from the environmental and interactional quality offered by the focal service provider. When the type of service triad coordination is considered, we observe similar effects for a focal service provider-coordinated service triad while in a customer-coordinated service triad the interactional quality is the sole experience driver of waiting experiences that remains significant.

By investigating the implications of customer participation in the decision-making about outsourcing parts of the service delivery process to third parties, this research contributes to the service design, service triad and service operations literature. Specifically, this study shows that customer outsourcing decisions impact waiting experience formation with the focal service provider.

This study aims to more deeply examine the various types of testing mediations and use the comparison test by using test-based mediation Sobel models and Bayesian approach. The purpose of this study are to apply the traditional (using indirect effect) and Sobel test, extend Yuan and MacKinnon (2009) work on Bayesian mediation analysis. Both analysis methods of mediation (Traditional, Sobel Test and Bayesian estimation) should apply in the research of management, by using structural equation modeling (SEM) in a structural model, with one mediation, one exogenous (independent) and one endogenous variable. The meta-analysis approximation has been used to investigate the job satisfaction as a mediation in the relationship between employee competence and performance (endogenous).

Data were collected from ten dissertations of students of the Management Doctoral Program at the Brawijaya University from 2009 until 2013; data were analyzed for the mediation variable of job satisfaction (M) in the relationship between employee competence (X) and employee performance (Y) (Muindi and Obonyo, 2015; Olcer, 2015; Sattar et al., 2015; Khan and Ahmed, 2015). A researcher can determine the mediating variable and whether it is complete or partial or if mediation exists in several ways.

The results of the above findings using meta-analysis showed that 60% of previous research states that job satisfaction is a partial mediation on relationship competence of the performance, 10% of previous research states that job satisfaction is a full mediation on relationship competence of the performance and 30% stated that job satisfaction is not pemediasi (pemediasi means Mediation variable) on the relationship between competence and performance. This research found that all three approaches provide similar conclusions for ten previous research.

The findings showed that the Sobel approach and the Bayesian approach provide results that are more sensitive than the traditional approach.

In my opinion, the rule to investigate the mediation variable should be completed with the conditions (1) q (theta) is not statistically significant, (2) α (alpha) and β (beta) are significant, and (3) q’ (theta) is significant, and increase when M is include as an additional predictor. This condition called partial mediation.

The traditional method is simpler and easy. The method is less sensitive and is not sufficient for investigating the mediating variables. In general, the method results in a mediation variable, but it cannot be used to determine either partial or complete mediation variables. So, investigation by Baron and Kenny Methods (in Hair et al., 2010), the rule or testing called Sobel Test and another approach such as Bayesian to determine the mediation variable is necessary.

Various methods for detecting mediating/intervening have been widely used in previous research as a method of measurement using indirect effect (Hair et al., 2010), and calculations have been performed using Sobel test (Baron and Kenny, 1986) and Bayesian approach (Enders, 2013). In this study, I wanted to more deeply examine the various types of testing mediations, and use the comparison test by using the test-based mediation Sobel models and Bayesian approach (Baron and Kenny, 1986; Enders, 2013). The statistical application should not be complicated and difficult, it but must rather be simple and easy, so that it is user-friendly. The traditional method is simpler and easier than the other methods, but how sensitive is it? This research is conducted to investigate this problem. The evaluation of mediating mechanisms has become a critical element of behavioral science research (Enders, 2013), especially in the field of management, not only to assess whether (and how) interventions achieve their effects but also, more, broadly, to understand the cause of behavioral change. Methodologists have developed mediation analysis techniques for a broad range of substantive applications. However, methods for estimating mediation mechanisms with various methods have been understudied. The purpose of this study is to apply the traditional (using indirect effect) and Sobel tests and extend Yuan and MacKinnon’s (2009) work on the Bayesian mediation analysis. Both analyses methods of mediation (traditional and Sobel test and Bayesian estimation) should apply in the research of management, by using structural equation modeling (SEM) in a structural model, with one mediation, one exogenous (independent) and one endogenous variable. The meta-analysis approximation has been used to investigate job satisfaction as the mediation in the relationship between employee competence and performance (endogenous). This study uses software R to complete the mediating effect (Enders, 2013). R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers et al. R provides a wide variety of statistical analyses such as SEM and Mediation test. R provides an open source route for participation in that activity. The Bayesian estimation approach provides an R function and a macro that applies the method of mediation analysis.

The explosion of the deadly coronavirus (COVID-19) has led to an unprecedented crisis lately, which has adversely affected the performance level of professionals in the educational sector worldwide because of numerous constraints, imposition of the lockdown being one of those. Organizational resilience (OReg) and emotional intelligence (EI) discretely have been identified as indicators of employee performance (EP) over the years, but during the period of crisis, it has scarcely been analysed. Therefore, this study aims to examine the mediating role of EI on the relationship between OReg and EP in such a global pandemic.

In total, 390 samples including teaching and non-teaching professionals working in higher educational institutions (HEIs) were collected from different HEIs located in India through online survey questionnaires. The collected data was further analysed using regression analysis, factor analysis, structural equation modelling along with bootstrapping technique, reliability and validity analysis, mediation analysis and model fit indices analysis.

The results of the study confirmed the partial mediation effect of EI on the OReg-EP relationship, and further results also exhibited that employees with a higher level of EI, contribute more positively to the OReg level, which further enhances the performance level at the workplace.

The samples collected for the current study pertain to the HEIs only, and therefore the present study results have limited general applicability. Furthermore, the study does not investigate the influence of time.

This study would assist practitioners of HEIs in improving the resilience capabilities of the organization. EP can be improved by enhancing the levels of OReg and individual emotional intelligence, which is in line with the findings of the current study.

In the COVID-19 pandemic, worldwide the students are affected due to the transition to online teaching. This study will help HEI’s to cope up with the student’s loss by being flexible in approach for the retention of performance of employees by taking care of their emotional needs and focusing on their skill development by providing a learning culture in a depressing time of the pandemic so that students will not suffer due to this rapid change without any preparation or previous experience in a pandemic.

The current study examines the mediating effect of EI on the OReg and EP relationship for the first time in HEIs in India.

This study investigated a mechanism by which challenge stressors may affect employee well-being outcomes. This study tested a within-person longitudinal model in which the effects of challenge demands relate to basic psychological need satisfaction/thwarting and worker well-being outcomes. In particular, basic psychological need satisfaction and thwarting were hypothesized to mediate challenge demands and outcomes at the intraindividual level.

Data from 84 employees from a weekly survey across four weeks (308 observations) were used in Bayesian multilevel path analyses to test hypotheses.

Although significant indirect effects showed that basic psychological needs mediate between demands and worker outcomes, only a few specific indirect effects (e.g. the path from time pressure via thwarting the need for autonomy to emotional exhaustion) operated as hypothesized. Interestingly, in this study, time pressure was only mediated via thwarting the need for autonomy when considering undesirable worker outcomes (i.e. increased emotional exhaustion, decreased job satisfaction). Job complexity, however, led to decreased emotional exhaustion via the need for competence satisfaction. Implications for need satisfaction and thwarting as mechanisms in the challenge–hindrance framework are discussed.

This study (1) extends the challenge–hindrance framework to include basic psychological needs as a mechanism, (2) expands basic psychological needs to include need thwarting and (3) may enhance our understanding of stressor categories.

This study aims to examine the relation between error management culture and restaurant employee promotive and prohibitive voices. Drawing on socially desirable responding theory, the authors also propose a dual-mediation mechanism underlying the impact of error management culture on employee voice: psychological empowerment, as the agentic motive, and psychological safety, as the communal motive.

The authors recruited 223 participants working in 37 restaurants in China for the two-wave surveys with a one-week interval. The authors use a multilevel modeling paradigm to test the study hypotheses.

This research examines a multilevel model suggesting that error management culture can boost employee promotive voice and prohibitive voice via the mechanisms of psychological safety and empowerment. In addition, the results suggest that psychological empowerment (vs psychological safety) has a strong mediation effect between error management culture and promotive voice, but the authors find no difference in mediating effects between error management culture and prohibitive voice.

Restaurants can encourage employee voice by developing and maintaining an error management culture. Organizations can also consider motivating employees from both agentic and communal perspectives. Moreover, managers should focus more on empowering employees in areas characterized by Confucianism or collectivism.

The current research adds to the voice literature by identifying an organizational cultural antecedent of employee voice–error management culture. Agentic and communal motives are two motivational paths of employee voice. It also extends the social desirability theory by highlighting the role of the agentic motive in the Chinese restaurant context.

Companies increasingly opt for co-creation by engaging customers in new product and service development processes. The purpose of this paper is to provide insight into the customer experience in co-creation situations and its determinants.

The conceptual framework addresses the customer experience in co-creation situations, and its individual and environmental determinants. To examine the degree to which these determinants affect the customer experience in co-creation situations, the author starts by proposing and testing a multidimensional co-creation experience scale (n=66). Next, the author employs an experiment to test the hypotheses (n=180).

Higher levels of customer role readiness, technologization, and connectivity positively affect different co-creation experience dimensions. The impact of these dimensions on the overall co-creation experience, however, differs according to customers’ expectations in terms of co-creation benefits. Therefore, the author concludes that the expected co-creation benefits determine the importance of the level of customer role readiness, technologization, and connectivity for the co-creation experience.

This research generates a better understanding of the co-creation experience by providing insight into the co-creation experience dimensions and their relative importance for customers with different expectations in terms of co-creation benefits. Additionally, this research addresses the implications of customer heterogeneity in terms of expected co-creation benefits for designing co-creation environments, thereby helping managers to generate more rewarding co-creation experiences for their customers.

Although nonwork mastery generates personal resources and improves employee well-being and performance, employees must invest personal resources to experience mastery during nonwork time. Drawing on conservation of resources theory and resource exchange perspectives, the purpose of this study is to examine the role of day-to-day provisions of affiliation resources by the leader in generating the personal resources necessary for employees to engage in nonwork mastery.

Daily diary data were collected from 198 employees (768 days). The proposed model was tested using Bayesian multilevel path analysis.

The results showed that on days when employees perceived that their leader provided more affiliation resources, they reported higher self-esteem and work engagement and, in turn, experienced higher levels of mastery. Furthermore, employees in high-quality (vs low-quality) leader–member exchange (LMX) relationships benefitted more from the affiliation resources provided by their leader in terms of work engagement.

The findings suggest that leaders can actively manage their employees' daily experience and functioning through seemingly ordinary demonstrations of warmth, care, and positive regard.

This study highlights the important role of leaders in improving employee daily work and nonwork experience and functioning and sheds light on the tangible resource provisions in the work context and the associated personal resources that account for daily variations in mastery. By distinguishing between daily affiliation resources and general perceptions of LMX relationship quality, this study contributes to a more nuanced understanding of the implications that resource provisions by the leader have for employees.